Which storage redundancy option provides the highest degree of durability, with 16 nines of durability?

What is Azure Storage Replication? To maintain data availability and durability, Azure Storage creates and stores copies of data across multiple locations. This process is called storage replication. The goal is to provide redundancy to protect data against hardware failures, power or network outages. There are several redundancy options you can choose from. You can replicate data within one region, or you can replicate into a geographically-distant secondary region. Additionally, you can enable read access to replicated data located in a secondary region, to provide availability during disasters. In this article, you will learn: • Types of Azure Storage Replication • Locally-Redundant Storage (LRS) • Zone-Redundant Storage (ZRS) • Geo-Redundant storage (GRS) • Read-Access Geo-Redundant (RA-GRS) • Object Replication for Block Blob Storage • Azure Storage Replication Q&A • How to Check Azure Replication Status for Block Blob Storage? • Which Replication Types are Available for My Storage Account? Types of Azure Storage Replication By default, Azure Storage replicates data three times within a primary region. Additionally, Azure offers the following options you can configure for replication within the primary region: • Locally redundant storage (LRS) —synchronously replicates data to three disks within a data center in the primary region. Offers a moderate level of availability at a lower cost. • Zone-redundant storage (ZRS) —synchronously replicates data amongthree Azure av...

Based on Microsoft's documentation the We guarantee that at least 99.9% (99% for Cool Access Tier) of the time, we will successfully process requests to write data to Locally Redundant Storage (LRS), Zone Redundant Storage (ZRS), and Geo Redundant Storage (GRS) Accounts and Read Access-Geo Redundant Storage (RA-GRS) Accounts Similarly looking at Azure Storage Redundancy section, for ZRS offers durability for Azure Storage data objects of at least 99.9999999999% (12 9's) over a given year. With ZRS, your data is still accessible for both read and write operations even if a zone becomes unavailable Am I correct in assuming that the Storage account(with ZRS) is available(R/W) 12 9's over the period of a year and not 3 9's? The percentage in the SLA doc is referring to Availability(it means that system is up, data can be accessed), and in ZRS doc is referring to Durability(it means that no data is lost or corruption when failure occurs). The read/write operation depends on the Availability. So for Storage account(with ZRS), it is 3 9's. You can also refer to this Thanks for contributing an answer to Stack Overflow! • Please be sure to answer the question. Provide details and share your research! But avoid … • Asking for help, clarification, or responding to other answers. • Making statements based on opinion; back them up with references or personal experience. To learn more, see our

Azure Storage always stores multiple copies of your data so that it is protected from planned and unplanned events, including transient hardware failures, network or power outages, and massive natural disasters. Redundancy ensures that your storage account meets its availability and durability targets even in the face of failures. When deciding which redundancy option is best for your scenario, consider the tradeoffs between lower costs and higher availability. The factors that help determine which redundancy option you should choose include: • How your data is replicated in the primary region • Whether your data is replicated to a second region that is geographically distant to the primary region, to protect against regional disasters • Whether your application requires read access to the replicated data in the secondary region if the primary region becomes unavailable for any reason Redundancy in the primary region Data in an Azure Storage account is always replicated three times in the primary region. Azure Storage offers two options for how your data is replicated in the primary region: • Locally redundant storage (LRS) copies your data synchronously three times within a single physical location in the primary region. LRS is the least expensive replication option, but is not recommended for applications requiring high availability or durability. • Zone-redundant storage (ZRS) copies your data synchronously across three Azure availability zones in the primary region. Fo...

In this article APPLIES TO: Azure Database for PostgreSQL - Flexible Server Backups form an essential part of any business continuity strategy. They help protect data from accidental corruption or deletion. Azure Database for PostgreSQL - Flexible Server automatically performs regular backups of your server. You can then do a point-in-time recovery (PITR) within a retention period that you specify. The overall time to restore and recovery typically depends on the size of data and the amount of recovery to be performed. Backup overview Flexible Server takes snapshot backups of data files and stores them securely in zone-redundant storage or locally redundant storage, depending on the The default backup retention period is 7 days, but you can extend the period to a maximum of 35 days. All backups are encrypted through AES 256-bit encryption for data stored at rest. These backup files can't be exported or used to create servers outside Azure Database for PostgreSQL - Flexible Server. For that purpose, you can use the PostgreSQL tools pg_dump and pg_restore/psql. Backup frequency Backups on flexible servers are snapshot based. The first snapshot backup is scheduled immediately after a server is created. Snapshot backups are currently taken once daily. The first snapshot is a full backup and consecutive snapshots are differential backups. Transaction log backups happen at varied frequencies, depending on the workload and when the WAL file is filled and ready to be archived. In ...

• • • • • I’ve got a cool new Let’s define durability (with respect to an object stored in S3) as the probability that the object will remain intact and accessible after a period of one year. 100% durability would mean that there’s no possible way for the object to be lost, 90% durability would mean that there’s a 1-in-10 chance, and so forth. We’ve always said that Amazon S3 provides a “highly durable” storage infrastructure and that objects are stored redundantly across multiple facilities within an S3 region. But we’ve never provided a metric, or explained what level of failure it can withstand without losing any data. Let’s change that! Using the definition that I stated above, the durability of an object stored in Amazon S3 is 99.999999999%. If you store 10,000 objects with us, on average we may lose one of them every 10 million years or so. This storage is designed in such a way that we can sustain the concurrent loss of data in two separate storage facilities. If you are using S3 for permanent storage, I’m sure that you need and fully appreciate the need for this level of durability. It is comforting to know that you can simply store your data in S3 without having to worry about backups, scaling, device failures, fires, theft, meteor strikes, earthquakes, or toddlers. But wait, there’s less! Not every application actually needs this much durability. In some cases, the object stored in S3 is simply a cloud-based copy of an object that actually lives somewhere else. I...

Amazon S3 provides a highly durable storage infrastructure designed for mission-critical and primary data storage. S3 Standard, S3 Intelligent-Tiering, S3 Standard-IA, S3 Glacier Instant Retrieval, S3 Glacier Flexible Retrieval, and S3 Glacier Deep Archive redundantly store objects on multiple devices across a minimum of three Availability Zones in an AWS Region. An Availability Zone is one or more discrete data centers with redundant power, networking, and connectivity in an AWS Region. Availability Zones are physically separated by a meaningful distance, many kilometers, from any other Availability Zone, although all are within 100 km (60 miles) of each other. The S3 One Zone-IA storage class stores data redundantly across multiple devices within a single Availability Zone. These services are designed to handle concurrent device failures by quickly detecting and repairing any lost redundancy, and they also regularly verify the integrity of your data using checksums. Amazon S3 standard storage offers the following features: • Backed with the Amazon S3 Service Level Agreement. • Designed to provide 99.999999999% durability and 99.99% availability of objects over a given year. • S3 Standard, S3 Intelligent-Tiering, S3 Standard-IA, S3 Glacier Instant Retrieval, S3 Glacier Flexible Retrieval, and S3 Glacier Deep Archive are all designed to sustain data in the event of the loss of an entire Amazon S3 Availability Zone. Amazon S3 further protects your data using versioning. You...

Amazon S3 provides a highly durable storage infrastructure designed for mission-critical and primary data storage. S3 Standard, S3 Intelligent-Tiering, S3 Standard-IA, S3 Glacier Instant Retrieval, S3 Glacier Flexible Retrieval, and S3 Glacier Deep Archive redundantly store objects on multiple devices across a minimum of three Availability Zones in an AWS Region. An Availability Zone is one or more discrete data centers with redundant power, networking, and connectivity in an AWS Region. Availability Zones are physically separated by a meaningful distance, many kilometers, from any other Availability Zone, although all are within 100 km (60 miles) of each other. The S3 One Zone-IA storage class stores data redundantly across multiple devices within a single Availability Zone. These services are designed to handle concurrent device failures by quickly detecting and repairing any lost redundancy, and they also regularly verify the integrity of your data using checksums. Amazon S3 standard storage offers the following features: • Backed with the Amazon S3 Service Level Agreement. • Designed to provide 99.999999999% durability and 99.99% availability of objects over a given year. • S3 Standard, S3 Intelligent-Tiering, S3 Standard-IA, S3 Glacier Instant Retrieval, S3 Glacier Flexible Retrieval, and S3 Glacier Deep Archive are all designed to sustain data in the event of the loss of an entire Amazon S3 Availability Zone. Amazon S3 further protects your data using versioning. You...

In this article APPLIES TO: Azure Database for PostgreSQL - Flexible Server Backups form an essential part of any business continuity strategy. They help protect data from accidental corruption or deletion. Azure Database for PostgreSQL - Flexible Server automatically performs regular backups of your server. You can then do a point-in-time recovery (PITR) within a retention period that you specify. The overall time to restore and recovery typically depends on the size of data and the amount of recovery to be performed. Backup overview Flexible Server takes snapshot backups of data files and stores them securely in zone-redundant storage or locally redundant storage, depending on the The default backup retention period is 7 days, but you can extend the period to a maximum of 35 days. All backups are encrypted through AES 256-bit encryption for data stored at rest. These backup files can't be exported or used to create servers outside Azure Database for PostgreSQL - Flexible Server. For that purpose, you can use the PostgreSQL tools pg_dump and pg_restore/psql. Backup frequency Backups on flexible servers are snapshot based. The first snapshot backup is scheduled immediately after a server is created. Snapshot backups are currently taken once daily. The first snapshot is a full backup and consecutive snapshots are differential backups. Transaction log backups happen at varied frequencies, depending on the workload and when the WAL file is filled and ready to be archived. In ...

Azure Storage always stores multiple copies of your data so that it is protected from planned and unplanned events, including transient hardware failures, network or power outages, and massive natural disasters. Redundancy ensures that your storage account meets its availability and durability targets even in the face of failures. When deciding which redundancy option is best for your scenario, consider the tradeoffs between lower costs and higher availability. The factors that help determine which redundancy option you should choose include: • How your data is replicated in the primary region • Whether your data is replicated to a second region that is geographically distant to the primary region, to protect against regional disasters • Whether your application requires read access to the replicated data in the secondary region if the primary region becomes unavailable for any reason Redundancy in the primary region Data in an Azure Storage account is always replicated three times in the primary region. Azure Storage offers two options for how your data is replicated in the primary region: • Locally redundant storage (LRS) copies your data synchronously three times within a single physical location in the primary region. LRS is the least expensive replication option, but is not recommended for applications requiring high availability or durability. • Zone-redundant storage (ZRS) copies your data synchronously across three Azure availability zones in the primary region. Fo...

• • • • • I’ve got a cool new Let’s define durability (with respect to an object stored in S3) as the probability that the object will remain intact and accessible after a period of one year. 100% durability would mean that there’s no possible way for the object to be lost, 90% durability would mean that there’s a 1-in-10 chance, and so forth. We’ve always said that Amazon S3 provides a “highly durable” storage infrastructure and that objects are stored redundantly across multiple facilities within an S3 region. But we’ve never provided a metric, or explained what level of failure it can withstand without losing any data. Let’s change that! Using the definition that I stated above, the durability of an object stored in Amazon S3 is 99.999999999%. If you store 10,000 objects with us, on average we may lose one of them every 10 million years or so. This storage is designed in such a way that we can sustain the concurrent loss of data in two separate storage facilities. If you are using S3 for permanent storage, I’m sure that you need and fully appreciate the need for this level of durability. It is comforting to know that you can simply store your data in S3 without having to worry about backups, scaling, device failures, fires, theft, meteor strikes, earthquakes, or toddlers. But wait, there’s less! Not every application actually needs this much durability. In some cases, the object stored in S3 is simply a cloud-based copy of an object that actually lives somewhere else. I...